CN113067714B - Content distribution network scheduling processing method, device and equipment - Google Patents
Content distribution network scheduling processing method, device and equipment Download PDFInfo
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- CN113067714B CN113067714B CN202010002689.7A CN202010002689A CN113067714B CN 113067714 B CN113067714 B CN 113067714B CN 202010002689 A CN202010002689 A CN 202010002689A CN 113067714 B CN113067714 B CN 113067714B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0893—Assignment of logical groups to network elements
Abstract
The invention provides a scheduling processing method, device and equipment for a content distribution network, and relates to the technical field of communication. The method comprises the following steps: acquiring target data of each entity node in a CDN scheduling system of a content delivery network; according to the target data, a virtual network environment is set up; performing network behavior simulation of a scheduling strategy in the virtual network environment to obtain a target scheduling strategy; and configuring the CDN scheduling system according to the target scheduling strategy. The scheme of the invention realizes higher-quality CDN scheduling.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method, an apparatus, and a device for scheduling and processing a content delivery network.
Background
The content delivery network CDN is an intelligent virtual network constructed on the basis of the existing network, and enables users to obtain needed content nearby through functions of load balancing, content delivery, scheduling and the like of a central platform by means of edge servers deployed in various places, so that network congestion is reduced, and access response speed and hit rate of the users are improved.
The CDN scheduling is a very complex dynamic scheduling problem, and under the influence of uncertain environment and disturbance factors, a scheduling policy needs to be changed continuously. Dynamic scheduling usually takes multiple targets under multiple constraints into comprehensive consideration, mathematical modeling is needed to solve the dynamic scheduling problem at present, but the actual scheduling process is complex and variable, and the problem cannot be modeled accurately, so that the problem of scheduling imbalance caused by inaccurate modeling factors may also exist.
Disclosure of Invention
The invention aims to provide a method, a device and equipment for scheduling and processing a content delivery network, so as to solve the problem of unbalanced scheduling of a CDN.
In order to achieve the above object, an embodiment of the present invention provides a content delivery network scheduling processing method, applied to a network side device, including:
acquiring target data of each entity node in a CDN scheduling system of a content delivery network;
building a virtual network environment according to the target data;
performing network behavior simulation of a scheduling strategy in the virtual network environment to obtain a target scheduling strategy;
and configuring the CDN scheduling system according to the target scheduling strategy.
Optionally, the target data includes: load information and traffic information of the entity node.
Optionally, the performing network behavior simulation of the scheduling policy in the virtual network environment to obtain a target scheduling policy includes:
determining the load performance of each entity node according to the load information;
generating an initial scheduling strategy according to the load performance and the service information;
and configuring the virtual nodes in the virtual network environment to perform network behavior simulation based on the initial scheduling strategy until a target scheduling strategy is obtained.
Optionally, the initial scheduling policy includes a plurality of scheduling policies;
the configuring, based on the initial scheduling policy, a virtual node in the virtual network environment to perform network behavior simulation until a target scheduling policy is obtained includes:
determining a candidate scheduling policy according to a simulation result of the initial scheduling policy and first load information, wherein the first load information is load information of a virtual node in network behavior simulation corresponding to the initial scheduling policy;
configuring virtual nodes in the virtual network environment to perform network behavior simulation based on the candidate scheduling strategy;
if the simulation result of the candidate scheduling policy and second load information meet preset conditions, determining that the candidate scheduling policy is the target scheduling policy, and the second load information is load information of a virtual node in network behavior simulation corresponding to the candidate scheduling policy;
if the simulation result of the candidate scheduling policy or the second load information does not meet the preset condition, generating a new scheduling policy, and configuring a virtual node in the virtual network environment to perform network behavior simulation based on the new scheduling policy until a target scheduling policy meeting the preset condition is obtained.
Optionally, the obtaining target data of each entity node in the content delivery network CDN scheduling system includes:
and acquiring target data of each entity node through data parallel distribution.
To achieve the above object, an embodiment of the present invention provides a content delivery network scheduling processing method, applied to a first edge node of a CDN scheduling system, including:
after the configuration is completed based on the target scheduling strategy, self load information is sent to a superior target node;
and acquiring a load record generated by the target node, wherein the load record comprises load information and address information of all edge nodes managed by the target node.
Optionally, after the obtaining the load record generated by the target node, the method further includes:
when an access request of user equipment is received and the user equipment is in an overload state, inquiring address information of a second edge node, wherein the second edge node is in a non-overload state;
and sending the address information of the second edge node to the user equipment.
Optionally, the second edge node is an edge node with the smallest load among the edge nodes managed by the target node.
To achieve the above object, an embodiment of the present invention provides a content distribution network scheduling processing apparatus, including:
the first acquisition module is used for acquiring target data of each entity node in a CDN (content delivery network) scheduling system;
the first processing module is used for building a virtual network environment according to the target data;
the second processing module is used for carrying out network behavior simulation of the scheduling strategy in the virtual network environment to obtain a target scheduling strategy;
and the configuration module is used for configuring the CDN scheduling system according to the target scheduling strategy.
Optionally, the target data includes: load information and traffic information of the entity node.
Optionally, the second processing module includes:
the determining submodule is used for determining the load performance of each entity node according to the load information;
the generating submodule is used for generating an initial scheduling strategy according to the load performance and the service information;
and the processing submodule is used for configuring the virtual nodes in the virtual network environment to perform network behavior simulation based on the initial scheduling strategy until a target scheduling strategy is obtained.
Optionally, the initial scheduling policy comprises a plurality of scheduling policies;
the processing submodule comprises:
a determining unit, configured to determine a candidate scheduling policy according to a simulation result of the initial scheduling policy and first load information, where the first load information is load information of a virtual node in network behavior simulation corresponding to the initial scheduling policy;
a configuration unit, configured to configure a virtual node in the virtual network environment to perform network behavior simulation based on the candidate scheduling policy;
the first processing unit is configured to determine that the candidate scheduling policy is the target scheduling policy if the simulation result of the candidate scheduling policy and second load information meet a preset condition, where the second load information is load information of a virtual node in network behavior simulation corresponding to the candidate scheduling policy;
and the second processing unit is used for generating a new scheduling policy if the simulation result of the candidate scheduling policy or the second load information does not meet the preset condition, and configuring the virtual nodes in the virtual network environment to perform network behavior simulation based on the new scheduling policy until a target scheduling policy meeting the preset condition is obtained.
Optionally, the first obtaining module is further configured to:
and acquiring target data of each entity node through data parallel distribution.
To achieve the above object, an embodiment of the present invention provides a content delivery network scheduling processing apparatus, applied to a first edge node of a CDN scheduling system, including:
the first sending module is used for sending self load information to an upper-level target node after the configuration is completed based on the target scheduling strategy;
a second obtaining module, configured to obtain a load record generated by the target node, where the load record includes load information and address information of all edge nodes managed by the target node.
Optionally, the apparatus further comprises:
the query module is used for querying the address information of a second edge node under the condition that an access request of user equipment is received and the second edge node is in an overload state, and the second edge node is in a non-overload state;
a second sending module, configured to send the address information of the second edge node to the user equipment.
Optionally, the second edge node is an edge node with the smallest load among the edge nodes managed by the target node.
To achieve the above object, an embodiment of the present invention provides a network side device, including: a transceiver and a processor;
the transceiver is used for acquiring target data of each entity node in a CDN scheduling system;
the processor is used for building a virtual network environment according to the target data;
the processor is also used for simulating the network behavior of the scheduling strategy in the virtual network environment to obtain a target scheduling strategy;
the processor is further configured to configure the CDN scheduling system according to the target scheduling policy.
Optionally, the target data includes: load information and traffic information of the entity node.
Optionally, the processor is further configured to:
determining the load performance of each entity node according to the load information;
generating an initial scheduling strategy according to the load performance and the service information;
and configuring the virtual nodes in the virtual network environment to perform network behavior simulation based on the initial scheduling strategy until a target scheduling strategy is obtained.
Optionally, the initial scheduling policy includes a plurality of scheduling policies;
the processor is further configured to:
determining to meet a candidate scheduling policy according to a simulation result of the initial scheduling policy and first load information, wherein the first load information is load information of a virtual node in network behavior simulation corresponding to the initial scheduling policy;
configuring virtual nodes in the virtual network environment to perform network behavior simulation based on the candidate scheduling strategy;
if the simulation result of the candidate scheduling strategy and second load information meet preset conditions, determining that the candidate scheduling strategy is the target scheduling strategy, and the second load information is the load information of a virtual node in network behavior simulation corresponding to the candidate scheduling strategy;
if the simulation result of the candidate scheduling policy or the second load information does not meet the preset condition, generating a new scheduling policy, and configuring a virtual node in the virtual network environment to perform network behavior simulation based on the new scheduling policy until a target scheduling policy meeting the preset condition is obtained.
Optionally, the transceiver is further configured to:
and acquiring target data of each entity node through data parallel distribution.
To achieve the above object, an embodiment of the present invention provides a network side device, where the network side device is a first edge node of a CDN scheduling system, and the network side device includes: a transceiver;
the transceiver is used for sending self load information to the upper-level target node after completing configuration based on the target scheduling strategy;
the transceiver is further configured to obtain a load record generated by the target node, where the load record includes load information and address information of all edge nodes managed by the target node.
Optionally, the method further comprises: a processor;
the processor is used for inquiring the address information of a second edge node under the condition that an access request of user equipment is received and the processor is in an overload state, and the second edge node is in a non-overload state;
the transceiver is further configured to send address information of the second edge node to the user equipment.
Optionally, the second edge node is an edge node with the smallest load among the edge nodes managed by the target node.
To achieve the above object, an embodiment of the present invention provides a network side device, including: a transceiver, a processor, a memory, and a computer program stored on the memory and executable on the processor; when the processor executes the computer program, the content delivery network scheduling processing method applied to the network side device is implemented, or the content delivery network scheduling processing method applied to the first edge node of the CDN scheduling system is implemented.
To achieve the above object, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the content delivery network scheduling processing method applied to a network-side device as described above, or implements the steps in the content delivery network scheduling processing method applied to a first edge node of a CDN scheduling system as described above.
The technical scheme of the invention has the following beneficial effects:
according to the embodiment of the invention, the target data of each entity node in the CDN scheduling system is obtained, the virtual network environment is built by the target data, then, the network behavior simulation of the scheduling strategy is further carried out in the virtual network environment, so that an effective target scheduling strategy is obtained, then, the target scheduling strategy is used for configuring the CDN scheduling system, and higher-quality CDN scheduling is realized.
Drawings
Fig. 1 is a schematic flowchart of a scheduling processing method for a content delivery network according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an apparatus architecture of a content distribution network scheduling processing method to which an embodiment of the present invention is applied;
FIG. 3 is a schematic diagram of an application of the method of FIG. 1;
FIG. 4 is a second schematic diagram of the method of FIG. 1;
fig. 5 is a flowchart illustrating a content distribution network scheduling processing method applied to a first edge node according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an application of the method of FIG. 5;
fig. 7 is a schematic structural diagram of a content distribution network scheduling processing apparatus according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a content distribution network scheduling processing apparatus applied to a first edge node according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of a network-side device according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of a network device according to another embodiment of the present invention.
Detailed Description
To make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
In various embodiments of the present invention, it should be understood that the sequence numbers of the following processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In addition, the terms "system" and "network" are often used interchangeably herein.
In the embodiments provided herein, it should be understood that "B corresponding to a" means that B is associated with a from which B can be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information.
As shown in fig. 1, a method for scheduling and processing a content delivery network according to an embodiment of the present invention includes:
102, building a virtual network environment according to the target data;
103, performing network behavior simulation of a scheduling policy in the virtual network environment to obtain a target scheduling policy;
and 104, configuring the CDN scheduling system according to the target scheduling strategy.
According to the steps 101-104, the method provided by the embodiment of the invention is applied to network side equipment, a virtual network environment is built by the target data through obtaining the target data of each entity node in the CDN scheduling system, then, the network behavior simulation of the scheduling strategy is further carried out in the virtual network environment, so that an effective target scheduling strategy is obtained, and then the target scheduling strategy is used for configuring the CDN scheduling system, so that higher-quality CDN scheduling is realized.
It should be noted that in the CDN scheduling system, the entity nodes include, but are not limited to, a global load balancing device as a central node, a county node, and an edge node. Therefore, to build an applicable virtual network environment and implement network behavior simulation, in this embodiment, optionally, the target data includes: load information and traffic information of the entity node.
Therefore, a virtual network environment which is closer to reality is constructed based on the load information and the service information in the target data, and the load information and the service information of the virtual nodes in the virtual network environment also accord with the entity nodes.
Optionally, step 101 comprises:
and acquiring target data of each entity node through data parallel distribution.
Step 101 is implemented by the interface portion 210 of the device 200, as shown in fig. 2, to which the content distribution network scheduling processing method according to the embodiment of the present invention is applied. The interface part is provided with a collector, the collector is arranged on each entity node (a central node, a county node and an edge node) in the CDN scheduling system, and data collection of each entity node can be realized on the basis of not influencing the original service through data parallel distribution. Step 104 can also be implemented by the interface portion, and the interface portion 210 is further provided with a configurator, which is arranged at each entity node in the CDN scheduling system and is capable of configuring the obtained target scheduling policy to each entity node in the CDN scheduling system.
The device 200 further includes a network behavior simulation portion 220, where the network behavior simulation portion 220 implements the above steps 102 and 103 based on the target data collected by the interface portion 210 to obtain the target scheduling policy; then, the interface portion 210 completes the distribution of the target scheduling policy.
Further, in this embodiment, optionally, step 103 includes:
determining the load performance of each entity node according to the load information;
generating an initial scheduling strategy according to the load performance and the service information;
and configuring the virtual nodes in the virtual network environment to perform network behavior simulation based on the initial scheduling strategy until a target scheduling strategy is obtained.
Here, to complete the network behavior simulation, an initial scheduling policy is first generated, and then based on the initial scheduling policy, the virtual nodes in the virtual network environment are configured to perform the network behavior simulation until a final target scheduling policy is obtained. Wherein, the initial scheduling policy is generated by combining the load performance of the entity node and the service information.
Specifically, according to the obtained load information, the load performance of each entity node can be calculated based on a multidimensional index weighting mode. Then, an intelligent scheduling algorithm based on artificial intelligence AI is defined by combining the load performance and the service information, and an initial scheduling strategy is generated. And then configuring the initial scheduling strategy to a virtual node in the established virtual network environment, and performing network behavior simulation until a better target scheduling strategy is obtained.
In addition, in this embodiment, optionally, the initial scheduling policy includes a plurality of scheduling policies;
the configuring, based on the initial scheduling policy, a virtual node in the virtual network environment to perform network behavior simulation until a target scheduling policy is obtained includes:
determining a candidate scheduling policy according to a simulation result of the initial scheduling policy and first load information, wherein the first load information is load information of a virtual node in network behavior simulation corresponding to the initial scheduling policy;
configuring virtual nodes in the virtual network environment to perform network behavior simulation based on the candidate scheduling strategy;
if the simulation result of the candidate scheduling policy and second load information meet preset conditions, determining that the candidate scheduling policy is the target scheduling policy, and the second load information is load information of a virtual node in network behavior simulation corresponding to the candidate scheduling policy;
if the simulation result of the candidate scheduling policy or the second load information does not meet the preset condition, generating a new scheduling policy, and configuring a virtual node in the virtual network environment to perform network behavior simulation based on the new scheduling policy until a target scheduling policy meeting the preset condition is obtained.
In the network behavior simulation process, firstly, breadth-first simulation is performed by adopting a manner of combining breadth-first and depth-first, and an optimal scheduling strategy which meets the current requirement is selected in the initial scheduling strategy, namely a candidate scheduling strategy; and then, further performing depth-first simulation by combining the candidate scheduling strategy to realize more detailed and specific network simulation and evaluation. In this way, an optimal scheduling strategy is generated through iterative "scheduling-simulation-feedback". The preset condition is provided with first content corresponding to the simulation result and second content corresponding to the load information, so that the target scheduling strategy can meet the requirements, and intelligent CDN scheduling with balanced load can be realized.
Continuing with the appliance 200 shown in fig. 2, the network behavior simulation portion 220 in the appliance 200 may be divided into an intelligent scheduling unit and a simulation unit. The intelligent scheduling unit generates a scheduling strategy in the simulation process and configures the scheduling strategy to the virtual node, and evaluates the scheduling strategy by combining the fed-back simulation result and the virtual node load information to obtain a target scheduling strategy; the simulation unit realizes breadth-first simulation and depth-first simulation in the simulation process.
Thus, as shown in fig. 3, after acquiring target data of each entity node in the CDN scheduling system, the interface portion 210 of the device 200 to which the content delivery network scheduling processing method according to the embodiment of the present invention is applied issues the target data to the intelligent scheduling unit and the simulation unit of the network behavior simulation portion 220. And the intelligent scheduling unit generates a scheduling strategy and issues the scheduling strategy to simulate the network behavior. And the simulation unit feeds back the simulation result and the load information of the virtual node. The intelligent scheduling unit and the simulation unit obtain a target scheduling policy meeting the requirement by combining the feedback through iterative scheduling-simulation-feedback, and feed the target scheduling policy back to the interface part 210, and the interface part 210 configures the obtained target scheduling policy to each entity node in the CDN scheduling system.
In the following, as shown in fig. 4, the application of the method according to the embodiment of the present invention is described with reference to specific scenarios:
1. when a user clicks a content uniform resource location URL on a website page, user equipment initiates a domain name resolution request to a local domain name resolution system DNS resolution service cluster.
2. The DNS resolution service cluster transmits the resolution right of the domain name to the main DNS server, and the main DNS server immediately ties the domain name and returns the IP address of the central node of the CDN to the user equipment.
3. And the user equipment initiates a content URL access request to a central node of the CDN based on the received IP address.
4. The network side equipment applying the content delivery network scheduling processing method of the embodiment of the invention collects the target data of the entity node in the CDN scheduling system, builds a virtual network environment which is highly consistent with a real network, simultaneously schedules a user request, carries out network behavior simulation of a scheduling strategy, obtains a target scheduling strategy, and issues the target scheduling strategy to a corresponding central node and a district node.
5. And the central node initiates a request to the district and county nodes according to the issued strategy.
6. And the county node returns the IP address of the first edge node according to the issued strategy and informs the user equipment through the central node.
7. The user equipment initiates an access request to the first edge node based on the IP address of the first edge node. The first edge node has load records of load information and address information of all edge nodes under the upper county node. Therefore, if no decision-making mistake is found, step 8 is executed to respond to the user request. If a decision is not made, for example, the first edge node is overloaded, the first edge node is required to deny the user access, and an IP address corresponding to a second edge node (e.g., the edge node with the smallest load) in an un-overloaded state is required to be queried according to the load record, and then step 9 is performed.
9. The first edge node returns the IP address of the second edge node to the user equipment.
10. The user equipment is redirected to the second edge node. If no decision fault is found, the second edge node executes step 11 to respond to the user request normally.
Here, after the edge node in the CDN scheduling system completes configuration based on the target scheduling policy, it sends its own load information to the upper-level target node; then, a load record generated by the target node is obtained, wherein the load record comprises the load information and the address information of all edge nodes managed by the target node. Of course, the reporting of the load information is real-time, and the target node also synchronizes the load record to each managed edge node in real time. Therefore, when the access request of the user equipment is received and the user equipment is in an overload state, the address information of the second edge node can be inquired, and the second edge node is in an un-overload state; and then, the address information of the second edge node is sent to the user equipment, so that the user equipment can redirect and complete access, and the problem that the access cannot be realized due to scheduling policy errors is solved.
To sum up, the method of the embodiment of the present invention obtains the target data of each entity node in the CDN scheduling system, constructs a virtual network environment from the target data, and then further performs network behavior simulation of a scheduling policy in the virtual network environment, so as to obtain an effective target scheduling policy, and then configures the CDN scheduling system with the target scheduling policy, thereby achieving higher-quality CDN scheduling.
As shown in fig. 5, an embodiment of the present invention provides a content delivery network scheduling processing method, which is applied to a first edge node of a CDN scheduling system, and includes:
According to step 501 and step 501, the first edge node to which the content distribution network scheduling processing method of the embodiment of the present invention is applied first sends its own load information to the upper-level target node after completing configuration based on the target scheduling policy of the previous embodiment, so that the target node can summarize the load information of the edge nodes managed by the target node, and obtain a load record including the load information and address information of all the edge nodes managed by the target node. The first edge node can obtain the load record, so that the configuration correction can be realized subsequently based on the load record, and the problem that the access cannot be completed due to the scheduling strategy error is avoided.
Wherein the target node may be a county node one level above the first edge node.
Specifically, the first edge node reports its own load information to the upper-level target node in real time. Correspondingly, after the target node acquires the load information of the edge nodes managed by the target node, the load records obtained by gathering can be synchronized to each edge node in real time, so that when the problem of scheduling imbalance caused by scheduling strategy errors is encountered, the edge nodes are endowed with the function of rejecting the access requests of the users, and the proper scheduling nodes are timely returned to the users according to the load records.
Optionally, the load record is an IP-load table, and load information of the load record is recorded corresponding to the IP address of each edge node, so that a user can query the load information conveniently.
Optionally, after step 502, the method further includes:
when an access request of user equipment is received and the user equipment is in an overload state, inquiring address information of a second edge node, wherein the second edge node is in a non-overload state;
and sending the address information of the second edge node to the user equipment.
Optionally, after the obtaining the load record generated by the target node, the method further includes:
when an access request of user equipment is received and the user equipment is in an overload state, inquiring address information of a second edge node, wherein the second edge node is in a non-overload state;
and sending the address information of the second edge node to the user equipment.
Optionally, the second edge node is an edge node with the smallest load among the edge nodes managed by the target node.
Therefore, when the access request of the user equipment is received and the user equipment is in an overload state, the address information of the second edge node can be inquired, and the second edge node is in a non-overload state; and then, sending the address information of the second edge node to the user equipment to ensure that the user equipment can be redirected to finish access.
Optionally, in order to improve the working efficiency, optionally, the second edge node is an edge node with the smallest load among the edge nodes managed by the target node.
For example, as shown in fig. 6, both edge node 1 and edge node 2 applying the content distribution network scheduling processing method according to the embodiment of the present invention report load information to the prefecture node in real time. The county node obtains the comprehensive load information of each edge node through the calculation of the load calculation unit, and the IP address and the load information of each edge node are summarized into an IP-load table (load record), and the table is dynamically updated according to the real-time reported load. And synchronizing the IP-load table to each edge node in real time by the district and county nodes, so that the edge nodes obtain the IP addresses and corresponding load information of other edge nodes in real time. When a user initiates a request to the edge node 1 and the edge node 1 is in an overload state, the edge node 1 rejects the user request, and queries the IP address of the edge node with the minimum load (such as the edge node 2) according to the currently acquired IP-load table, and returns the IP address to the user, and the user redirects to the edge node 2 corresponding to the IP address.
To sum up, the first edge node of the scheduling processing method for a content delivery network according to the embodiment of the present invention first sends its own load information to the upper-level target node after completing configuration based on the target scheduling policy of the previous embodiment, so that the target node can summarize the load information of the edge nodes that it manages, and obtain a load record including the load information and address information of all the edge nodes that it manages. The first edge node can obtain the load record, so that configuration deviation correction can be realized subsequently based on the load record, and the problem that access cannot be completed due to scheduling strategy errors is solved.
As shown in fig. 7, an embodiment of the present invention provides a content distribution network scheduling processing apparatus, including:
a first obtaining module 710, configured to obtain target data of each entity node in a CDN scheduling system;
the first processing module 720 is configured to build a virtual network environment according to the target data;
a second processing module 730, configured to perform network behavior simulation of a scheduling policy in the virtual network environment, to obtain a target scheduling policy;
a configuration module 740, configured to configure the CDN scheduling system according to the target scheduling policy.
Optionally, the target data includes: load information and traffic information of the entity node.
Optionally, the second processing module includes:
the determining submodule is used for determining the load performance of each entity node according to the load information;
the generating submodule is used for generating an initial scheduling strategy according to the load performance and the service information;
and the processing submodule is used for configuring the virtual nodes in the virtual network environment to perform network behavior simulation based on the initial scheduling strategy until a target scheduling strategy is obtained.
Optionally, the initial scheduling policy comprises a plurality of scheduling policies;
the processing submodule comprises:
a determining unit, configured to determine a candidate scheduling policy according to a simulation result of the initial scheduling policy and first load information, where the first load information is load information of a virtual node in network behavior simulation corresponding to the initial scheduling policy;
a configuration unit, configured to configure a virtual node in the virtual network environment to perform network behavior simulation based on the candidate scheduling policy;
the first processing unit is configured to determine that the candidate scheduling policy is the target scheduling policy if the simulation result of the candidate scheduling policy and second load information meet a preset condition, where the second load information is load information of a virtual node in network behavior simulation corresponding to the candidate scheduling policy;
and the second processing unit is used for generating a new scheduling policy if the simulation result of the candidate scheduling policy or the second load information does not meet the preset condition, and configuring the virtual nodes in the virtual network environment to perform network behavior simulation based on the new scheduling policy until a target scheduling policy meeting the preset condition is obtained.
Optionally, the first obtaining module is further configured to:
and acquiring target data of each entity node through data parallel distribution.
The device acquires target data of each entity node in the CDN scheduling system, establishes a virtual network environment by the target data, then further simulates network behaviors of scheduling strategies in the virtual network environment to obtain an effective target scheduling strategy, and then configures the CDN scheduling system by the target scheduling strategy, thereby realizing higher-quality CDN scheduling.
It should be noted that, the apparatus is an apparatus to which the content distribution network scheduling processing method applied to the network side device is applied, and the implementation manner of the embodiment of the method is applied to the apparatus, and the same technical effect can be achieved.
As shown in fig. 8, an embodiment of the present invention provides a content delivery network scheduling processing apparatus, which is applied to a first edge node of a CDN scheduling system, and includes:
a first sending module 810, configured to send load information of itself to an upper-level target node after completing configuration based on a target scheduling policy;
a second obtaining module 820, configured to obtain a load record generated by the target node, where the load record includes load information and address information of all edge nodes managed by the target node.
Optionally, the apparatus further comprises:
the query module is used for querying the address information of a second edge node under the condition that an access request of user equipment is received and the second edge node is in an overload state, and the second edge node is in a non-overload state;
and the second sending module is used for sending the address information of the second edge node to the user equipment.
Optionally, the second edge node is an edge node with the smallest load among the edge nodes managed by the target node.
The device firstly completes configuration based on a target scheduling strategy, and then sends load information of the device to a superior target node, so that the target node can summarize the load information of edge nodes managed by the target node, and load records including the load information and address information of all the edge nodes managed by the target node are obtained. The first edge node can obtain the load record, so that configuration deviation correction can be realized subsequently based on the load record, and the problem that access cannot be completed due to scheduling strategy errors is solved.
It should be noted that, the apparatus is an apparatus to which the content distribution network scheduling processing method applied to the first edge node is applied, and the implementation manner of the embodiment of the method is applied to the apparatus, and the same technical effect can be achieved.
As shown in fig. 9, a network side device 900 according to an embodiment of the present invention includes: a transceiver 920 and a processor 910;
the transceiver 920 is configured to obtain target data of each entity node in a CDN scheduling system;
the processor 910 is configured to build a virtual network environment according to the target data;
the processor 910 is further configured to perform network behavior simulation of a scheduling policy in the virtual network environment, so as to obtain a target scheduling policy;
the processor is further configured to configure the CDN scheduling system according to the target scheduling policy.
Optionally, the target data includes: load information and traffic information of the entity node.
Optionally, the processor is further configured to:
determining the load performance of each entity node according to the load information;
generating an initial scheduling strategy according to the load performance and the service information;
and configuring the virtual nodes in the virtual network environment to perform network behavior simulation based on the initial scheduling strategy until a target scheduling strategy is obtained.
Optionally, the initial scheduling policy includes a plurality of scheduling policies;
the processor is further configured to:
determining to meet a candidate scheduling policy according to a simulation result of the initial scheduling policy and first load information, wherein the first load information is load information of a virtual node in network behavior simulation corresponding to the initial scheduling policy;
configuring virtual nodes in the virtual network environment to perform network behavior simulation based on the candidate scheduling strategy;
if the simulation result of the candidate scheduling strategy and second load information meet preset conditions, determining that the candidate scheduling strategy is the target scheduling strategy, and the second load information is the load information of a virtual node in network behavior simulation corresponding to the candidate scheduling strategy;
if the simulation result of the candidate scheduling policy or the second load information does not meet the preset condition, generating a new scheduling policy, and configuring a virtual node in the virtual network environment to perform network behavior simulation based on the new scheduling policy until a target scheduling policy meeting the preset condition is obtained.
Optionally, the transceiver is further configured to:
and acquiring target data of each entity node through data parallel distribution.
The network side device of this embodiment obtains the target data of each entity node in the CDN scheduling system, constructs a virtual network environment from the target data, and then further performs network behavior simulation of a scheduling policy in the virtual network environment, so as to obtain an effective target scheduling policy, and then configures the CDN scheduling system with the target scheduling policy, thereby achieving higher-quality CDN scheduling.
It should be noted that, the device applies the content distribution network scheduling processing method applied to the network side device, and the implementation manner of the embodiment of the method is applied to the device, and the same technical effect can be achieved.
A network side device according to another embodiment of the present invention, where the network side device is a first edge node of a CDN scheduling system, includes: a transceiver;
the transceiver is used for sending self load information to the upper-level target node after completing configuration based on the target scheduling strategy;
the transceiver is further configured to obtain a load record generated by the target node, where the load record includes load information and address information of all edge nodes managed by the target node.
Optionally, the method further comprises: a processor;
the processor is used for inquiring the address information of a second edge node under the condition that an access request of user equipment is received and the processor is in an overload state, and the second edge node is in a non-overload state;
the transceiver is further configured to send address information of the second edge node to the user equipment.
Optionally, the second edge node is an edge node with the smallest load among the edge nodes managed by the target node.
The equipment firstly completes configuration based on a target scheduling strategy, and then sends load information of the equipment to a superior target node, so that the target node can summarize the load information of edge nodes managed by the target node, and load records including the load information and address information of all the edge nodes managed by the target node are obtained. The first edge node can obtain the load record, so that the configuration correction can be realized subsequently based on the load record, and the problem that the access cannot be completed due to the scheduling strategy error is avoided.
It should be noted that, the device applies the content distribution network scheduling processing method applied to the first edge node, and the implementation manner of the embodiment of the method is applied to the device, and the same technical effect can be achieved.
A network-side device according to another embodiment of the present invention, as shown in fig. 10, includes a transceiver 1010, a processor 1000, a memory 1020, and a computer program stored in the memory 1020 and executable on the processor 1000; when executing the computer program, the processor 1000 implements the content delivery network scheduling processing method applied to the network side device, or implements the content delivery network scheduling processing method applied to the first edge node of the CDN scheduling system.
The transceiver 1010 is used for receiving and transmitting data under the control of the processor 1000.
Where in fig. 10, the bus architecture may include any number of interconnected buses and bridges, with various circuits being linked together, particularly one or more processors represented by processor 1000 and memory represented by memory 1020. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 1010 may be a number of elements including a transmitter and a receiver that provide a means for communicating with various other apparatus over a transmission medium.
The processor 1000 is responsible for managing the bus architecture and general processing, and the memory 1020 may store data used by the processor 1000 in performing operations.
A computer-readable storage medium of an embodiment of the present invention stores thereon a computer program, where the computer program, when executed by a processor, implements the method for processing content delivery network scheduling applied to a network-side device as described above, or implements the steps in the method for processing content delivery network scheduling applied to a first edge node of a CDN scheduling system as described above, and can achieve the same technical effect, and in order to avoid repetition, the description is omitted here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It is further noted that the terminals described in this specification include, but are not limited to, smart phones, tablets, etc., and that many of the functional components described are referred to as modules in order to more particularly emphasize their implementation independence.
In embodiments of the present invention, modules may be implemented in software for execution by various types of processors. An identified module of executable code may, for instance, comprise one or more physical or logical blocks of computer instructions which may, for instance, be constructed as an object, procedure, or function. Nevertheless, the executables of an identified module need not be physically located together, but may comprise disparate instructions stored in different bits which, when joined logically together, comprise the module and achieve the stated purpose for the module.
Indeed, a module of executable code may be a single instruction, or many instructions, and may even be distributed over several different code segments, among different programs, and across several memory devices. Likewise, operational data may be identified within the modules and may be embodied in any suitable form and organized within any suitable type of data structure. The operational data may be collected as a single data set, or may be distributed over different locations including over different storage devices, and may exist, at least partially, merely as electronic signals on a system or network.
When a module can be implemented by software, considering the level of existing hardware technology, a module implemented by software may build a corresponding hardware circuit to implement a corresponding function, without considering cost, and the hardware circuit may include a conventional Very Large Scale Integration (VLSI) circuit or a gate array and an existing semiconductor such as a logic chip, a transistor, or other discrete components. A module may also be implemented in programmable hardware devices such as field programmable gate arrays, programmable array logic, programmable logic devices or the like.
The exemplary embodiments described above are described with reference to the drawings, and many different forms and embodiments of the invention may be made without departing from the spirit and teaching of the invention, therefore, the invention is not to be construed as limited to the exemplary embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. In the drawings, the size and relative sizes of elements may be exaggerated for clarity. The terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Unless otherwise indicated, a range of values, when stated, includes the upper and lower limits of the range and any subranges therebetween.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (12)
1. A content distribution network scheduling processing method is applied to network side equipment and is characterized by comprising the following steps:
obtaining target data of each entity node in a CDN scheduling system of a content delivery network, wherein the target data comprises: load information and service information of the entity node;
according to the target data, a virtual network environment is set up, and the load information and the service information of the virtual nodes in the virtual network environment accord with the entity nodes;
performing network behavior simulation of a scheduling strategy in the virtual network environment to obtain a target scheduling strategy;
configuring a CDN scheduling system according to the target scheduling strategy;
wherein, the network behavior simulation of the scheduling policy in the virtual network environment to obtain the target scheduling policy comprises:
determining the load performance of each entity node according to the load information;
generating an initial scheduling strategy according to the load performance and the service information, wherein the initial scheduling strategy comprises a plurality of scheduling strategies;
configuring a virtual node in the virtual network environment to perform network behavior simulation based on the initial scheduling policy, and selecting a candidate scheduling policy from the initial scheduling policy according to a simulation result of the initial scheduling policy and first load information, wherein the first load information is load information of the virtual node in the network behavior simulation corresponding to the initial scheduling policy;
configuring virtual nodes in the virtual network environment to perform network behavior simulation based on the candidate scheduling strategy;
if the simulation result of the candidate scheduling strategy and second load information meet preset conditions, determining that the candidate scheduling strategy is the target scheduling strategy, and the second load information is the load information of a virtual node in network behavior simulation corresponding to the candidate scheduling strategy; the preset condition is provided with a first content corresponding to the simulation result and a second content corresponding to the load information according to requirements;
if the simulation result of the candidate scheduling policy or the second load information does not meet the preset condition, generating a new scheduling policy, and configuring a virtual node in the virtual network environment to perform network behavior simulation based on the new scheduling policy until a target scheduling policy meeting the preset condition is obtained.
2. The method of claim 1, wherein the obtaining target data of each entity node in a CDN scheduling system comprises:
and acquiring target data of each entity node through data parallel distribution.
3. A content delivery network scheduling processing method is applied to a first edge node of a CDN scheduling system, and is characterized by comprising the following steps:
after the configuration is completed based on the target scheduling strategy, self load information is sent to a superior target node;
acquiring a load record generated by the target node, wherein the load record comprises real-time load information and address information of all edge nodes managed by the target node;
when an access request of user equipment is received and the user equipment is in an overload state, inquiring address information of a second edge node based on the load record, wherein the second edge node is in an overload-free state;
sending the address information of the second edge node to the user equipment;
the target scheduling policy is obtained by the network side equipment after acquiring target data of each entity node in the CDN scheduling system, constructing a virtual network environment according to the target data, and performing network behavior simulation of the scheduling policy in the virtual network environment; the target data includes: load information and service information of the entity node; the load information and the service information of the virtual nodes in the virtual network environment conform to the entity nodes; and is
The network behavior simulation of the scheduling policy in the virtual network environment to obtain the target scheduling policy comprises:
determining the load performance of each entity node according to the load information;
generating an initial scheduling strategy according to the load performance and the service information, wherein the initial scheduling strategy comprises a plurality of scheduling strategies;
configuring virtual nodes in the virtual network environment to perform network behavior simulation based on the initial scheduling strategy, and selecting a candidate scheduling strategy from the initial scheduling strategy according to a simulation result of the initial scheduling strategy and first load information, wherein the first load information is load information of the virtual nodes in the network behavior simulation corresponding to the initial scheduling strategy;
configuring virtual nodes in the virtual network environment to perform network behavior simulation based on the candidate scheduling strategy;
if the simulation result of the candidate scheduling policy and second load information meet preset conditions, determining that the candidate scheduling policy is the target scheduling policy, and the second load information is load information of a virtual node in network behavior simulation corresponding to the candidate scheduling policy; the preset condition is provided with a first content corresponding to the simulation result and a second content corresponding to the load information;
if the simulation result of the candidate scheduling policy or the second load information does not meet the preset condition, generating a new scheduling policy, and configuring virtual nodes in the virtual network environment to perform network behavior simulation based on the new scheduling policy until a target scheduling policy meeting the preset condition is obtained.
4. The method of claim 3, wherein the second edge node is the least loaded edge node among the edge nodes managed by the target node.
5. A content distribution network scheduling processing apparatus, comprising:
a first obtaining module, configured to obtain target data of each entity node in a CDN scheduling system of a content delivery network, where the target data includes: load information and service information of the entity node;
the first processing module is used for building a virtual network environment according to the target data, and the load information and the service information of the virtual nodes in the virtual network environment conform to the entity nodes;
the second processing module is used for carrying out network behavior simulation of the scheduling strategy in the virtual network environment to obtain a target scheduling strategy;
the configuration module is used for configuring the CDN scheduling system according to the target scheduling strategy;
wherein the second processing module comprises:
the determining submodule is used for determining the load performance of each entity node according to the load information;
the generating submodule is used for generating an initial scheduling strategy according to the load performance and the service information, and the initial scheduling strategy comprises a plurality of scheduling strategies;
the processing submodule is used for configuring the virtual nodes in the virtual network environment to perform network behavior simulation based on the initial scheduling strategy until a target scheduling strategy is obtained;
the processing submodule comprises:
a determining unit, configured to select a candidate scheduling policy from the initial scheduling policy according to a simulation result of the initial scheduling policy and first load information, where the first load information is load information of a virtual node in network behavior simulation corresponding to the initial scheduling policy;
a configuration unit, configured to configure a virtual node in the virtual network environment to perform network behavior simulation based on the candidate scheduling policy;
the first processing unit is configured to determine that the candidate scheduling policy is the target scheduling policy if the simulation result of the candidate scheduling policy and second load information meet a preset condition, where the second load information is load information of a virtual node in network behavior simulation corresponding to the candidate scheduling policy;
and the second processing unit is used for generating a new scheduling policy if the simulation result of the candidate scheduling policy or the second load information does not meet the preset condition, and configuring the virtual nodes in the virtual network environment to perform network behavior simulation based on the new scheduling policy until a target scheduling policy meeting the preset condition is obtained.
6. A content delivery network scheduling processing device is applied to a first edge node of a CDN scheduling system, and is characterized by comprising:
the first sending module is used for sending self load information to an upper-level target node after the configuration is completed based on the target scheduling strategy;
a second obtaining module, configured to obtain a load record generated by the target node, where the load record includes real-time load information and address information of all edge nodes managed by the target node;
the query module is used for querying the address information of a second edge node based on the load record under the condition that an access request of user equipment is received and the second edge node is in an overload state, wherein the second edge node is in a non-overload state;
a second sending module, configured to send the address information of the second edge node to the ue
The target scheduling policy is obtained by the network side equipment after acquiring target data of each entity node in the CDN scheduling system, constructing a virtual network environment according to the target data, and performing network behavior simulation of the scheduling policy in the virtual network environment; the target data includes: load information and service information of the entity node; the load information and the service information of the virtual nodes in the virtual network environment conform to the entity nodes; and is provided with
The network behavior simulation of the scheduling policy in the virtual network environment to obtain the target scheduling policy includes:
determining the load performance of each entity node according to the load information;
generating an initial scheduling strategy according to the load performance and the service information, wherein the initial scheduling strategy comprises a plurality of scheduling strategies;
configuring virtual nodes in the virtual network environment to perform network behavior simulation based on the initial scheduling strategy, and selecting a candidate scheduling strategy from the initial scheduling strategy according to a simulation result of the initial scheduling strategy and first load information, wherein the first load information is load information of the virtual nodes in the network behavior simulation corresponding to the initial scheduling strategy;
configuring virtual nodes in the virtual network environment to perform network behavior simulation based on the candidate scheduling strategy;
if the simulation result of the candidate scheduling strategy and second load information meet preset conditions, determining that the candidate scheduling strategy is the target scheduling strategy, and the second load information is the load information of a virtual node in network behavior simulation corresponding to the candidate scheduling strategy; the preset condition is provided with a first content corresponding to a simulation result and a second content corresponding to load information;
if the simulation result of the candidate scheduling policy or the second load information does not meet the preset condition, generating a new scheduling policy, and configuring a virtual node in the virtual network environment to perform network behavior simulation based on the new scheduling policy until a target scheduling policy meeting the preset condition is obtained.
7. A network-side device, comprising: a transceiver and a processor;
the transceiver is configured to obtain target data of each entity node in a CDN scheduling system, where the target data includes: load information and service information of the entity node;
the processor is used for building a virtual network environment according to the target data, and the load information and the service information of the virtual nodes in the virtual network environment conform to the entity nodes;
the processor is also used for simulating the network behavior of the scheduling strategy in the virtual network environment to obtain a target scheduling strategy;
the processor is further configured to configure the CDN scheduling system according to the target scheduling policy;
the processor is further configured to:
determining the load performance of each entity node according to the load information;
generating an initial scheduling strategy according to the load performance and the service information, wherein the initial scheduling strategy comprises a plurality of scheduling strategies;
determining to meet a candidate scheduling policy according to a simulation result of the initial scheduling policy and first load information, wherein the first load information is load information of a virtual node in network behavior simulation corresponding to the initial scheduling policy;
configuring virtual nodes in the virtual network environment to perform network behavior simulation based on the candidate scheduling strategy;
if the simulation result of the candidate scheduling policy and second load information meet preset conditions, determining that the candidate scheduling policy is the target scheduling policy, and the second load information is load information of a virtual node in network behavior simulation corresponding to the candidate scheduling policy;
if the simulation result of the candidate scheduling policy or the second load information does not meet the preset condition, generating a new scheduling policy, and configuring virtual nodes in the virtual network environment to perform network behavior simulation based on the new scheduling policy until a target scheduling policy meeting the preset condition is obtained.
8. The apparatus of claim 7, the transceiver further to:
and acquiring target data of each entity node through data parallel distribution.
9. A network side device, which is a first edge node of a CDN scheduling system, is characterized by comprising: a transceiver and a processor;
the transceiver is used for sending self load information to the upper-level target node after completing configuration based on the target scheduling strategy;
the transceiver is further configured to obtain a load record generated by the target node, where the load record includes real-time load information and address information of all edge nodes managed by the target node;
the processor is used for inquiring the address information of a second edge node based on the load record under the condition that an access request of user equipment is received and the processor is in an overload state, and the second edge node is in a non-overload state;
the transceiver is further configured to send address information of the second edge node to the user equipment
The target scheduling policy is obtained by the network side equipment building a virtual network environment according to target data after acquiring the target data of each entity node in the CDN scheduling system, and performing network behavior simulation of the scheduling policy in the virtual network environment; the target data includes: load information and service information of the entity node; the load information and the service information of the virtual nodes in the virtual network environment conform to the entity nodes; and is
The network behavior simulation of the scheduling policy in the virtual network environment to obtain the target scheduling policy includes:
determining the load performance of each entity node according to the load information;
generating an initial scheduling strategy according to the load performance and the service information, wherein the initial scheduling strategy comprises a plurality of scheduling strategies;
selecting a candidate scheduling policy from the initial scheduling policy according to a simulation result of the initial scheduling policy and first load information, wherein the first load information is load information of a virtual node in network behavior simulation corresponding to the initial scheduling policy;
configuring virtual nodes in the virtual network environment to perform network behavior simulation based on the candidate scheduling strategy;
if the simulation result of the candidate scheduling policy and second load information meet preset conditions, determining that the candidate scheduling policy is the target scheduling policy, and the second load information is load information of a virtual node in network behavior simulation corresponding to the candidate scheduling policy; the preset condition is provided with a first content corresponding to the simulation result and a second content corresponding to the load information;
if the simulation result of the candidate scheduling policy or the second load information does not meet the preset condition, generating a new scheduling policy, and configuring virtual nodes in the virtual network environment to perform network behavior simulation based on the new scheduling policy until a target scheduling policy meeting the preset condition is obtained.
10. The apparatus of claim 9, wherein the second edge node is the least loaded edge node of the edge nodes managed by the destination node.
11. A network-side device, comprising: a transceiver, a processor, a memory, and a computer program stored on the memory and executable on the processor; characterized in that the processor, when executing the computer program, implements the content distribution network scheduling processing method according to claim 1 or 2, or implements the content distribution network scheduling processing method according to any one of claims 3 or 4.
12. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the content distribution network scheduling processing method according to any one of claims 1 or 2, or the steps in the content distribution network scheduling processing method according to any one of claims 3 or 4.
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